Solution Advisor (Cyber Security)

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

We are a Research and Development firm focusing on building DeFi products revolving around Decentralized Liquidity Provision and active LP management.

We are a high-output research team of 5 from a variety of backgrounds, spanning from Machine Learning and System Engineering, all the way to fintech and business.

We are looking for a DeFi Software Engineer who has a deep understanding of Ethereum and tons of curiosity!

What are we Building:
We are building an Ethereum-based Protocol for structured yield and synths. The protocol leverages permissionless-ness and transparency of DeFi to create predictable yield and increase capital efficiency of capital deployed over various products in the DeFi ecosystem.

Our first product focuses on liquidity management on Uniswap V3.

Responsibilities

• Designing, building and testing smart contracts and related infrastructure
• Researching new DeFi protocols and its connectors and building on them
• Building real-time monitoring tools and working with our team on latency-sensitive operations
• Ethereum Node Infrastructure
• R&D at a protocol level

Qualifications

• Deep technical and practical understanding of DeFi protocols and DevOps practices for interfacing with them (both Ethereum and any other relevant one) Must have extensive knowledge of Solidity, smart contract development (web3js or ethersjs), testing and deployed a functioning smart contract on ETH mainnet.
• Knowledge of Javascript (knowledge of Golang/Python programming is nice to have).
• Must be comfortable working with either hardhat or truffle.
• Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
• You look forward to working with an interdisciplinary team that longs to find solutions together.
• Knowledge of DeFi isn't a must but is a big plus!

The number of years of experience does not matter as long as you have built complex projects from scratch, a burning desire to learn more, constantly improve yourself and solving tricky problems on a daily basis. We're a small team so you can assure yourself that whatever you contribute - in terms of engineering, or otherwise - is always heard and discussed.

Benefits

• Competitive salary and performance-based bonuses
• A young startup work environment, where your initiatives and ideas count and are rewarded
• A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
• The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do.

The role is remote. Please share github profiles and details of previous projects worked on (both commercial and personal).

Job Description :

- Collaborate with cross-functional teams to define, design, and ship new features.

- Work with outside data sources and APIs.

- Worked on Dart.js

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Responsibilities And Duties :

- Must have built at least one Android, or iOS, app with Flutter or Hybrid Framework.

Opportunity

Work on improving the flows and overall architecture of the core product at OneCard and OneScore. 

What you will do:

• Execute all product design flows and visual design stages from concept to final hand-off to engineering.
• Conceptualize original mobile design ideas that bring simplicity and user-friendliness to complex roadblocks.
• Create seamless navigation flows and architecture to improve discoverability, engagement and conversions. 
• Leverage user testing to make product improvements.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

Proven 2-3 years of work experience as a Product Designer. Must have worked on digital products. Familiar with user research practices. Having worked in the app product space is a huge plus. 

Technical Expertise:

• Demonstrable Product design skills with a strong portfolio is a must.
• Proficiency in Adobe XD, Illustrator and Figma is a must.
• Design eye-catching mobile app experiences for our app experiences.
• Ability to solve problems creatively and effectively.
• Be able to work in a cross-functional team as well as independently solve UX-related problems.
• Up-to-date with the latest Mobile app trends, techniques, and technologies.
• BS in Human-Computer Interaction, Interaction Design, or Visual Arts is a plus.

Desired Candidate Profile

• Bachelor’s degree in finance, accounting, economics, business administration or related field (MBA preferred)
• FRM or CFA is a plus
• Highly skilled in Math and Finance
• Good connection around investors in the market and can get them onboard
• Ability to understand the Income structure in a Fintech environment
• Strong analytical skills
• Excellent communication skills
• Strong time-management skills
• Negotiation and project management skills
• Excellent critical thinking skills
• Working knowledge of business and data intelligence software    

Responsibilities:

• Develop, improve, and maintain the Rumbl iOS app.
• Ensure the performance, quality, and responsiveness of the app.
• Work closely with designers, backend developers, and QA.
• Define, design, specify, develop, test and ship new features in a timely manner.
• Proactively identify design.
• Implementation errors, performance issues, and bugs.
• Work with the team and fix them e2e.
• Follow process workflows to ensure a smooth operation on a daily basis.
• Work as part of a cohesive and friendly team.
• Build and Release management.
• Exceptional work ethic and enthusiasm to work in a fast-paced development environment.
• Team players with a can-do attitude.
• Efficient Storage Management (Realm.io), State Maintenance, and Memory Management

Requirements:

• Excellent knowledge of iOS dev architecture and platforms.
• Expertise in UI/UX/Motion design transfer to code.
• Proficiency and experience in Swift and Objective C.
• Expertise working with cameras, sensors, low-level 2D and 3D graphics development.
• Experience with Core Data and Core Animation.
• Deep Knowledge of REST APIs, API call processing, and Client back end management.
• Familiarity with Facebook, Snapchat, Twitter, analytics, and other external SDK integration.
• Familiarity with Push notifications, Firebase, and GCM.
• Familiarity with Sketch+Zeplin.
• Experience with benchmarking and optimization.
• Proficient in using Git.
• Working knowledge of Jira integration.
• Proficient in TDD.
• Experience leading a feature to completion and release.
• API processing/Performance optimization.